Alternatives and similar repositories for EpiFoundation:

Users that are interested in EpiFoundation are comparing it to the libraries listed below

• Teddy-XiongGZ / DeepGSEA
  ☆16Updated 9 months ago
• KrishnaswamyLab / Gene-Signal-Pattern-Analysis
  Learning meaningful representations of genes
  ☆17Updated 6 months ago
• Genentech / pascient
  ☆12Updated 3 weeks ago
• liranmao / Spatial_multi_omics
  ☆11Updated 2 months ago
• QuKunLab / MultiomeBenchmarking
  ☆43Updated last month
• suinleelab / contrastiveVI
  ☆54Updated last year
• Teichlab / celcomen
  ☆12Updated last month
• SabbaghCodes / ImbalancedLearningForSingleCellFoundationModels
  Code for the benchmarking single-cell foundation models (scGPT, scBERT, and Geneformer) for cell-type annotation task using skewed single…
  ☆13Updated 4 months ago
• jiang-q19 / scPRAM
  scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism
  ☆13Updated 6 months ago
• suinleelab / deepprofile-study
  Code for paper "A deep profile of gene expression across 18 human cancers"
  ☆21Updated 4 months ago
• kaizhang / single-cell-benchmark
  ☆10Updated last year
• bioinfo-biols / Flow2Spatial
  Flow2Spatial reconstructs spatial proteomics through transfer learning.
  ☆14Updated last month
• jingshuw / SAVERX
  R package for transfer learning of single-cell RNA-seq denoising
  ☆30Updated 2 years ago
• SuperBianC / scMulan
  Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
  ☆57Updated 10 months ago
• PYangLab / Matilda
  Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…
  ☆20Updated 4 months ago
• OmicsML / scDiff
  scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models
  ☆27Updated 8 months ago
• feiyoung / PRECAST
  an efficient data integration method for multiple spatial transcriptomics data with non- cluster-relevant effects such as the complex batc…
  ☆10Updated last year
• mexchy1000 / CellDART
  domain adaptation of spatial and single-cell transcriptome
  ☆26Updated 7 months ago
• Genentech / polygraph
  Polygraph evaluates and compares groups of nucleic acid sequences based on their sequence and functional content for effective design of …
  ☆28Updated 3 weeks ago
• OSU-BMBL / scDEAL
  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
  ☆54Updated 9 months ago
• AprilYuge / ResPAN
  a light structured Residual autoencoder and mutual nearest neighbor Paring guided Adversarial Network for scRNA-seq batch correction
  ☆14Updated last year
• karbalayghareh / GraphReg
  Chromatin interaction aware gene regulatory modeling with graph attention networks
  ☆26Updated 2 years ago
• sidhomj / DeepTCR_Cancer
  Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy
  ☆15Updated 2 years ago
• theislab / scTab
  ☆58Updated 7 months ago
• Teichlab / celltypist_wiki
  Materials and scripts for building cell type encyclopedia table
  ☆19Updated 3 months ago
• KlugerLab / SIMVI
  ☆10Updated 3 months ago
• chenhcs / GIANT
  GIANT (Gene-based data Integration and ANalysis Technique) is a method for large-scale joint analyses of atlas-level single cell data.
  ☆10Updated last year
• theislab / multicpa
  ☆14Updated 2 years ago
• poseidonchan / TAPE
  Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)
  ☆54Updated last year
• TheHumphreysLab / MALDIpy
  MALDIpy: a Python package for single-cell analysis of imaging mass spectrometry data (Cell Metabolism 2024)
  ☆13Updated 10 months ago